Daniel Reti
Daniel is the co-founder and CEO of Exona Lab, a startup focused on AI risk quantification and exposure management. Before that, he was a Quantitative Analyst at Bank of America in the counterparty credit risk team focusing on understanding systemic risks in the financial system. He graduated from Imperial College London with a degree in Bioengineering.
Making Extreme AI Risk Tradeable
Traditional insurance can’t handle the extreme risks of frontier AI. Catastrophe bonds can cover the gap and compel labs to adopt tougher safety standards.